feat(spark-analytics): add 7 CronJobs, results webview, and LiChess staging demo

Adds CronJobs and headless driver Services for GameLengthJob, ColorAdvantageJob,
EloDistributionJob, TimeControlJob, DailyActivityJob, RatingMismatchJob, and
TerminationStatsJob. All suspended by default; scheduled Saturday mornings.

Adds spark-analytics-webview: a stdlib Python HTTP server (ConfigMap + Deployment
+ Service) that reads CSV output from the spark-analytics-output PVC and renders
13 datasets as browsable HTML tables. Disabled (replicas=0) in base.

Staging overlay enables the webview (replicas=1), exposes it via Ingress at
spark-results-st.nowchess.janis-eccarius.de, and sets NOWCHESS_PGN_PATH on all
CronJobs to the Lichess Jan-2013 rated standard PGN dump for demo runs without
a NowChess database.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Janis Eccarius
2026-06-21 15:01:25 +02:00
parent 2bc911ab81
commit a190d50a09
5 changed files with 1011 additions and 0 deletions
+713
View File
@@ -74,6 +74,139 @@ spec:
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-game-length-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-game-length
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-color-advantage-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-color-advantage
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-elo-distribution-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-elo-distribution
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-time-control-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-time-control
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-daily-activity-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-daily-activity
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-rating-mismatch-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-rating-mismatch
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: v1
kind: Service
metadata:
name: spark-termination-stats-driver
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
clusterIP: None
selector:
app: spark-termination-stats
ports:
- name: driver
port: 44167
targetPort: 44167
- name: blockmanager
port: 44777
targetPort: 44777
---
apiVersion: batch/v1
kind: CronJob
metadata:
@@ -407,3 +540,583 @@ spec:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-game-length
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 2 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-game-length
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-game-length-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.GameLengthJob
- file:///app/analytics.jar
- /spark-output/game-length
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-color-advantage
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 3 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-color-advantage
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-color-advantage-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.ColorAdvantageJob
- file:///app/analytics.jar
- /spark-output/color-advantage
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-elo-distribution
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 4 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-elo-distribution
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-elo-distribution-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.EloDistributionJob
- file:///app/analytics.jar
- /spark-output/elo-distribution
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-time-control
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 5 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-time-control
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-time-control-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.TimeControlJob
- file:///app/analytics.jar
- /spark-output/time-control
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-daily-activity
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 6 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-daily-activity
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-daily-activity-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.DailyActivityJob
- file:///app/analytics.jar
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-rating-mismatch
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 7 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-rating-mismatch
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-rating-mismatch-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.RatingMismatchJob
- file:///app/analytics.jar
- /spark-output/rating-mismatch
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
---
apiVersion: batch/v1
kind: CronJob
metadata:
name: spark-termination-stats
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
schedule: "0 8 * * 6"
suspend: true
concurrencyPolicy: Forbid
jobTemplate:
spec:
backoffLimit: 1
template:
metadata:
labels:
app: spark-termination-stats
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
serviceAccountName: spark-analytics
restartPolicy: OnFailure
securityContext:
fsGroup: 185
imagePullSecrets:
- name: ghcr-pull-secret
containers:
- name: spark-driver
image: ghcr.io/now-chess/now-chess-systems/analytics:latest
command:
- /opt/spark/bin/spark-submit
- --master
- spark://spark-master:7077
- --conf
- spark.executor.instances=1
- --conf
- spark.executor.cores=1
- --conf
- spark.executor.memory=512m
- --conf
- spark.driver.memory=512m
- --conf
- spark.driver.host=spark-termination-stats-driver
- --conf
- spark.driver.port=44167
- --conf
- spark.blockManager.port=44777
- --class
- de.nowchess.analytics.TerminationStatsJob
- file:///app/analytics.jar
- /spark-output/termination-stats
env:
- name: NOWCHESS_JDBC_URL
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_URL
- name: NOWCHESS_DB_USER
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_USER
- name: NOWCHESS_DB_PASS
valueFrom:
secretKeyRef:
name: ncs-db-secrets
key: STORE_DB_PASSWORD
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: "1"
memory: 1Gi
volumeMounts:
- name: spark-output
mountPath: /spark-output
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
+1
View File
@@ -7,3 +7,4 @@ resources:
- pvc.yaml
- cronjobs.yaml
- streaming.yaml
- webview.yaml
+246
View File
@@ -0,0 +1,246 @@
apiVersion: v1
kind: ConfigMap
metadata:
name: spark-analytics-webview
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
data:
serve.py: |
#!/usr/bin/env python3
"""Spark analytics results viewer — reads CSV output from PVC, serves HTML tables."""
import csv
import glob
import html
import os
from http.server import BaseHTTPRequestHandler, HTTPServer
OUTPUT_DIR = os.environ.get("SPARK_OUTPUT_DIR", "/spark-output")
PORT = int(os.environ.get("PORT", "8080"))
# Each tuple: (url-slug, display label, path relative to SPARK_OUTPUT_DIR)
# Paths mirror the CronJob outputDir arg + the subdir each job writes CSV to.
DATASETS = [
("opening-book", "Opening Book (Top 1000)", "opening-book/opening_book_top1000"),
("player-stats", "Player Statistics", "player-stats/player_stats_csv"),
("cluster-archetypes", "Cluster Archetypes", "player-clusters/cluster_archetypes"),
("component-sizes", "Graph Component Sizes", "player-graph/component_sizes"),
("game-length", "Game Length Distribution", "game-length/game_length_distribution"),
("game-length-by-result", "Game Length by Result", "game-length/game_length_by_result"),
("color-advantage", "Color Advantage", "color-advantage/color_advantage"),
("elo-distribution", "ELO Distribution", "elo-distribution/elo_distribution"),
("time-control", "Time Control Analysis", "time-control/time_control_stats"),
("hourly-activity", "Hourly Activity", "daily-activity/hourly_activity"),
("weekly-activity", "Weekly Activity", "daily-activity/weekly_activity"),
("rating-mismatch", "Rating Mismatch (Upsets)", "rating-mismatch/rating_mismatch"),
("termination-stats", "Termination Types", "termination-stats/termination_stats"),
]
CSS = """
* { box-sizing: border-box; }
body { font-family: 'Segoe UI', sans-serif; margin: 0; background: #0d1117; color: #c9d1d9; }
header { background: #161b22; border-bottom: 1px solid #30363d; padding: 1rem 2rem; }
header h1 { margin: 0; color: #58a6ff; font-size: 1.25rem; font-weight: 600; }
header span { color: #8b949e; font-size: 0.875rem; margin-left: 0.5rem; }
main { padding: 1.5rem 2rem; }
h2 { color: #e6edf3; font-size: 1rem; font-weight: 600; margin: 0 0 1rem; }
.cards { display: grid; grid-template-columns: repeat(auto-fill, minmax(260px, 1fr)); gap: 1rem; }
.card { background: #161b22; border: 1px solid #30363d; border-radius: 8px; padding: 1rem; }
.card h3 { margin: 0 0 0.5rem; font-size: 0.9rem; color: #58a6ff; }
.card a { text-decoration: none; color: inherit; display: block; }
.card a:hover .card-label { text-decoration: underline; }
.badge { display: inline-block; background: #21262d; border: 1px solid #30363d;
border-radius: 12px; padding: 1px 8px; font-size: 0.75rem; color: #8b949e; }
.badge.ready { border-color: #238636; color: #3fb950; }
.back { color: #58a6ff; text-decoration: none; font-size: 0.875rem; }
.back:hover { text-decoration: underline; }
.meta { color: #8b949e; font-size: 0.8rem; margin: 0.5rem 0 1rem; }
table { width: 100%; border-collapse: collapse; font-size: 0.8rem; }
thead th { background: #161b22; position: sticky; top: 0; padding: 6px 12px;
text-align: left; color: #8b949e; border-bottom: 1px solid #30363d;
font-weight: 600; white-space: nowrap; }
tbody td { padding: 5px 12px; border-bottom: 1px solid #21262d; }
tbody tr:hover td { background: #161b22; }
.table-wrap { overflow-x: auto; border: 1px solid #30363d; border-radius: 6px; }
.notice { background: #161b22; border: 1px solid #30363d; border-radius: 6px;
padding: 1.5rem; color: #8b949e; }
"""
def read_csv_parts(subdir: str) -> tuple[list[str], list[list[str]]]:
files = sorted(glob.glob(f"{OUTPUT_DIR}/{subdir}/part-*.csv"))
headers: list[str] = []
rows: list[list[str]] = []
for f in files:
with open(f, newline="", encoding="utf-8") as fh:
reader = csv.reader(fh)
for i, row in enumerate(reader):
if i == 0 and not headers:
headers = row
elif headers:
rows.append(row)
return headers, rows
def dataset_status(subdir: str) -> tuple[int, int]:
files = glob.glob(f"{OUTPUT_DIR}/{subdir}/part-*.csv")
return len(files), sum(os.path.getsize(f) for f in files)
def page(title: str, body: str) -> str:
return (
f"<!doctype html><html lang=en><head><meta charset=utf-8>"
f"<meta name=viewport content='width=device-width,initial-scale=1'>"
f"<title>{html.escape(title)} — Spark Analytics</title>"
f"<style>{CSS}</style></head><body>"
f"<header><h1>Spark Analytics</h1><span>NowChess · staging</span></header>"
f"<main>{body}</main></body></html>"
)
def index_html() -> str:
cards = ""
for slug, label, subdir in DATASETS:
parts, size_bytes = dataset_status(subdir)
if parts:
size_kb = size_bytes // 1024
badge = f'<span class="badge ready">{parts} part(s) · {size_kb} KB</span>'
else:
badge = '<span class="badge">no data yet</span>'
cards += (
f'<div class="card"><a href="/{slug}">'
f'<div class="card-label"><h3>{html.escape(label)}</h3></div>'
f"{badge}</a></div>"
)
return page(
"Results",
f"<h2>Datasets</h2><div class='cards'>{cards}</div>",
)
def table_html(slug: str, label: str, subdir: str) -> str:
headers, rows = read_csv_parts(subdir)
back = '<a class="back" href="/">← All datasets</a>'
if not headers:
return page(
label,
f"{back}<h2>{html.escape(label)}</h2>"
"<div class='notice'>No data yet. Run the CronJob first, then check back.</div>",
)
ths = "".join(f"<th>{html.escape(h)}</th>" for h in headers)
trs = "".join(
"<tr>" + "".join(f"<td>{html.escape(str(c))}</td>" for c in row) + "</tr>"
for row in rows[:10_000]
)
truncated = f" (showing first 10 000 of {len(rows)})" if len(rows) > 10_000 else ""
return page(
label,
f"{back}<h2>{html.escape(label)}</h2>"
f"<p class='meta'>{len(rows)} rows{truncated}</p>"
f"<div class='table-wrap'><table><thead><tr>{ths}</tr></thead>"
f"<tbody>{trs}</tbody></table></div>",
)
SLUG_MAP = {s: (label, subdir) for s, label, subdir in DATASETS}
class Handler(BaseHTTPRequestHandler):
def log_message(self, fmt, *args):
pass
def do_GET(self):
path = self.path.split("?")[0].lstrip("/")
if path == "" or path == "index.html":
self._send(index_html())
elif path in SLUG_MAP:
label, subdir = SLUG_MAP[path]
self._send(table_html(path, label, subdir))
else:
self.send_response(404)
self.end_headers()
def _send(self, body: str):
data = body.encode("utf-8")
self.send_response(200)
self.send_header("Content-Type", "text/html; charset=utf-8")
self.send_header("Content-Length", str(len(data)))
self.end_headers()
self.wfile.write(data)
if __name__ == "__main__":
server = HTTPServer(("0.0.0.0", PORT), Handler)
print(f"Listening on :{PORT} OUTPUT_DIR={OUTPUT_DIR}", flush=True)
server.serve_forever()
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: spark-analytics-webview
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
replicas: 0
strategy:
type: Recreate
selector:
matchLabels:
app: spark-analytics-webview
template:
metadata:
labels:
app: spark-analytics-webview
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
securityContext:
runAsNonRoot: true
runAsUser: 65534
fsGroup: 65534
containers:
- name: webview
image: python:3.12-slim
command: ["python", "/scripts/serve.py"]
ports:
- containerPort: 8080
env:
- name: SPARK_OUTPUT_DIR
value: /spark-output
- name: PORT
value: "8080"
volumeMounts:
- name: spark-output
mountPath: /spark-output
readOnly: true
- name: scripts
mountPath: /scripts
readinessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 3
periodSeconds: 10
resources:
requests:
cpu: 10m
memory: 64Mi
limits:
cpu: 200m
memory: 256Mi
volumes:
- name: spark-output
persistentVolumeClaim:
claimName: spark-analytics-output
- name: scripts
configMap:
name: spark-analytics-webview
defaultMode: 0755
---
apiVersion: v1
kind: Service
metadata:
name: spark-analytics-webview
labels:
app.kubernetes.io/name: spark-analytics
app.kubernetes.io/part-of: nowchess
spec:
selector:
app: spark-analytics-webview
ports:
- name: http
port: 8080
targetPort: 8080